Senior Analytics Engineer: Databricks, BI & Data Pipelines

RemoDevs; Kraków, Wrocław, Poznań; On-site; PLN 180,000 - 280,000; Full time

Job summary

Dateonic is seeking a Senior Analytics Engineer to bridge backend cloud data platforms and front-end BI. You will design and maintain cloud-based ETL/ELT workflows, build data models, and develop automated reporting using Databricks, Alteryx, Tableau, and Power BI.

You’ll work largely independently, translating complex questions into scalable datasets and partnering with data analysts, data scientists, AI teams, and executives to ensure metric consistency and data quality.

Qualifications

• 3+ years hands-on analytics engineering, cloud data platforms, and enterprise BI.
• Strong Databricks proficiency: Python, PySpark, SQL, Delta Lake, Databricks Workflows.
• Experience with API integrations, data ingestion pipelines, and orchestration.
• Solid data governance, security, and Git-based workflows.

Responsibilities

• Lead reusable, analytics-ready datasets and models for reporting and BI.
• Design scalable ingestion and transformation pipelines via APIs and cloud connectors.
• Build dashboards in Tableau and Power BI; translate business questions into insights.
• Automate ETL/ELT workflows with Databricks Workflows, Airflow, or Azure Data Factory.
• Own data modeling, semantic layer consistency, and KPI definitions.
• Ensure data quality with validation, QA, and anomaly detection.
• Document dependencies and enforce version control; collaborate with stakeholders.

Skills

Databricks

Python / PySpark

SQL

Delta Lake

Data modeling

Data governance

Git version control

English communication

Education

Degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or related field

Tools

Databricks Workflows

Airflow

Azure Data Factory

Tableau / Power BI

Job description

Dateonic is seeking a Senior Analytics Engineer to bridge backend cloud data platforms and front-end BI. You will design and maintain cloud-based ETL/ELT workflows, build data models, and develop automated reporting using Databricks, Alteryx, Tableau, and Power BI.

You’ll work largely independently, translating complex questions into scalable datasets and partnering with data analysts, data scientists, AI teams, and executives to ensure metric consistency and data quality.